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Restoration of color remote sensing image and its quality evaluation

Restoration of color remote sensing image and its quality ev...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, ZX Li, ZJ Zhang, JQ Wang, ZH Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

This paper is focused on the restoration of color remote sensing image (including airborne photo). A complete approach is recommended. It propose that two main aspects should be concerned in restoring a remote sensing image, that are restoration of space information, restoration of photometric information. In this proposal, the restoration of space information can be performed by making the modulation transfer function (MTF) as degradation function, in which the MTF is obtained by measuring the edge curve of origin image. The restoration of photometric information can be performed by improved local maximum entropy algorithm. What's more, a valid approach in processing color remote sensing image is recommended. That is splits the color remote sensing image into three monochromatic images which corresponding three visible light bands and synthesizes the three images after being processed separately with psychological color vision restriction. Finally, three novel evaluation variables are obtained based on image restoration to evaluate the image restoration quality in space restoration quality and photometric restoration quality. An evaluation is provided at last.

关键词： color remote sensing image image restoration modulation transfer function (MTF) local maximum entropy image evaluation

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Novel approach for mobile robot localization using monocular vision

Novel approach for mobile robot localization using monocular...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhong, ZG Yi, JQ Zhao, DB Hong, YP Chinese Acad Sci Inst Automat Lab Complex Syst & Intelligene Sci Beijing 100864 Peoples R China

ISBN: (纸本)0819451819

This paper presents a novel approach for mobile robot localization using monocular vision. The proposed approach locates a robot relative to the target to which the robot moves. Two points are selected from the target as two feature points. Once the coordinates in an image of the two feature points are detected, the position and motion direction of the robot can be determined according to the detected coordinates. Unlike those reported geometry pose estimation or landmarks matching methods, this approach requires neither artificial landmarks nor an accurate map of indoor environment. It needs less computation and can simplify greatly the localization problem. The validity and flexibility of the proposed approach is demonstrated by experiments performed on real images. The results show that this new approach is not only simple and flexible but also has high localization precision.

关键词： mobile robot localization monocular vision single image feature points

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A VLSI architecture for lifting-based wavelet transform with power efficient

A VLSI architecture for lifting-based wavelet transform with...

引用

3rd international symposium on multispectral image processing and pattern recognition

作者： Xiong, CY Zheng, S Tian, JW Liu, J Huazhong Univ Sci & Technol State Educ Commiss Key Lab Image Proc & Intelligent Control Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819451819

In this paper, an efficient VLSI architecture for biorthogonal 9/7 wavelet transform by lifting scheme is presented. The proposed architecture has many advantages including, symmetrical forward and inverse wavelet transform as a result of adopting pipeline parallel technique, as well as area and power efficient because of the decrease in the amount of memory required together with the reduction in the number of read/write accesses on account of using embedded boundary data-extension technique. We have developed a behavioral Verilog HDL model of the proposed architecture, which simulation results match exactly that of the Matlab code simulations. The design has been synthesized into XILINX xcv50e-cs 144-8, and the estimated frequency is 100MHz.

关键词： VLSI architecture lifting wavelet transform power-efficient pipeline parallel technique embedded boundary data-extension technique

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Application of independent component analysis in face images: A survey

Application of independent component analysis in face images...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Huang, YC Lu, HQ Chinese Acad Sci Inst Automat Natl Lab Pattern Recognit Beijing 100080 Peoples R China

ISBN: (纸本)0819451819

Face technologies which can be applied to access control and surveillance, are essential to intelligent vision-based human computer interation. The research efforts in this field include face detecting, face recognition, face retrieval, etc. However, these tasks are challenging because of variability in view point. lighting, pose and expression of human faces. The ideal face representation should consider the variability so as to we can develop robust algorithms for our applications. Independent Component Analysis (ICA) as an unsupervised learning technique has been used to find such a representation and obtained good performances in some applications. In the first part of this paper, we depict the models of ICA and its extensions: Independent Subspace Analysis (ISA) and Topographic ICA (TICA). Then we summarize the process in the applications of ICA and its extension in Face images. At last we propose a promising direction for future research.

关键词： independent component analysis independent subspace analysis topographic ICA

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Scene matching navigation based on multisensor image fusion

Scene matching navigation based on multisensor image fusion

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3rd international symposium on multispectral image processing and pattern recognition

作者： Wang, YL Chen, Z Beijing Univ Aeronaut & Astronaut Sch Automat Sci & Elect Engn Beijing 100083 Peoples R China

ISBN: (纸本)0819451819

Scene matching navigation based on multisensor image fusion is studied in this paper. Pixel and low feature-level fusion images of optical and IR images are used as real time images matching with optical satellite images as base images, in which linear superposition, nonlinear operators and multi-resolution image fusion approaches are adopted to acquire the fused gray and edge strength images. Gray and low feature-level scene matching schemes are also employed to execute the scene matching simulation experiments on the real flight image data, in which scene matching methods are general CCF and MAD algorithms. The experimental results are given to compare the matching performance when taking different fusion images as real time images under certain matching schemes. The scene matching results based on single sensor images are also given for comparison with the results based on multisensor fusion images.

关键词： scene matchin navigation multisensor image fusion CCD image IR image

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Use discrete chromatic space to tune the image tone in color image mosaic

Use discrete chromatic space to tune the image tone in color...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Zhang, ZX Li, ZJ Zhang, JQ Zheng, L Wuhan Univ Coll Remote Sensing & Informat Engn Wuhan 430072 Peoples R China

ISBN: (纸本)0819451819

Color image process is a very important problem. However, the main approach presently of them is to transfer RGB colour space into another colour space, such as HIS (Hue, Intensity and Saturation), YIQ LUV and so on. Virtually, it may not be a valid way to process colour airborne image just in one colour space. Because the electromagnetic wave is physically altered in every wave band, while the color image is perceived based on psychology vision. Therefore, it's necessary to propose an approach accord with physical transformation and psychological perception. Then, an analysis on how to use relative colour spaces to process color airborne photo is discussed and an application on how to tune the image tone in color airborne image mosaic is introduced. As a practice, a complete approach to perforin the mosaic on color airborne images via taking full advantage of relative color spaces is discussed in the application.

关键词： color space image mosaic

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An improved image segmentation approach based on level set and mathematical morphology

An improved image segmentation approach based on level set a...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Li, H Elmoataz, A Fadili, J Ruan, S ISMRA Univ Caen CNRS 6072 GREYC F-14050 Caen France

ISBN: (纸本)0819451819

Level set methods offer a powerful approach for the medical image segmentation since it can handle any of the cavities, concavities, convolution, splitting or merging. However, this method requires specifying initial curves and can only provide good results if these curves are placed near symmetrically with respect to the object boundary. Another well known segmentation technique--morphological watershed transform can segment unique boundaries from an image, but it is very sensitive to small variations of the image magnitude and consequently the number of generated regions is undesirably large and the segmented boundaries is not smooth enough. In this paper, a hybrid 3D medical image segmentation algorithm, which combines the watershed transform and level set techniques, is proposed. This hybrid algorithm resolves the weaknesses of each method. An initial partitioning of the image into primitive regions is produced by applying the watershed transform on the image gradient magnitude, then this segmentation results is treated as the initial localization of the desired contour, and used in the following level set method, which provides closed, smoothed and accurately localized contours or surfaces. Experimental results are also presented and discussed.

关键词： level set watershed transform image segmentation medical image processing

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A hybrid road recognition method using Fuzzy-C-Means and back-propagation neural network and image processing

A hybrid road recognition method using Fuzzy-C-Means and bac...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Li, CF Yang, ML Shi, CX Xia, DS So Yangtze Univ Sch Informat Technol Wuxi 214036 Peoples R China

ISBN: (纸本)0819451819

Road extracted from satellite imagery have been used for many different purposes, e.g., military, map publishing, transportation, and car navigations, etc. Many method, such as, neural network, Know ledge-based, Optimal search, Snake model, Semantic model, Road operator model, etc. was researched to identify road from satellite image, but because of complicated characteristics of road and image itself, and automated road network extraction still remains a challenge problem, and no existing software is able to perform the task reliably. This paper presents a hybrid method which combines Fuzzy-C-Means with back-propagation neural network and knowledge processing technique to detect roads in SPOT image. The basic idea of the paper is "easiest first" principal, and firstly focus to extract local salient road segments most easily and reliability, then use contextual knowledge and supervised back-propagation neural network model to extract fuzzy road segments among salient road segment, and then grouping these extracted pixel as seed point, candidate point, and not-road point, and then according to appropriate knowledge rule to traversal and join, guide the further road link in the whole image. At last, some post-processing steps are taken to refine the result. The resultant image showed this hybrid identification method performs better than only using knowledge-based method or neural network techniques.

关键词： road recognition Fuzzy-C-Means neural network knowledge processing SPOT image image processing

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Improved intelligent scissors and snake based VOP interpolation for semiautomatic video object segmentation

Improved intelligent scissors and snake based VOP interpolat...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Yang, GB Zhang, ZY Chen, J Digital Image Proc Lab Shanghai 200072 Peoples R China

ISBN: (纸本)0819451819

Object-based segmentation of image sequences is one of the issues often arise in the world of video processing and communications. In this paper, a robust semiautomatic video object segmentation scheme is proposed. To facilitate users defining the initial object contour efficiently and accurately, an improved intelligent scissors is proposed by trading off the accuracy of original intelligent scissors and the simplicity of bounding box. To avoid the accumulated errors during object tracking, Video sequence is firstly decomposed into video clips according to the rigidity of video object and the motion complexity. Then a snake-based bi-directional tracking is utilized to interpolate the video object planes (VOPs) of successive frames. Experimental results demonstrate that it can achieve better spatial accuracy and temporal coherency than COST211 AM, with about 10similar to22% improvement of spatial accuracy and almost the same temporal coherency.

关键词： video object segmentation improved intelligent scissors VOP interpolation video decomposing

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Imaging thresholding using minimal fuzzy entropy based on 2D gray histogram

Imaging thresholding using minimal fuzzy entropy based on 2D...

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3rd international symposium on multispectral image processing and pattern recognition

作者： Liu, ZG Che, XG Xue, JT Shen, GG Tianjin Univ Sch Elect Engn & Automat Tianjin 300072 Peoples R China

ISBN: (纸本)0819451819

A new method of minimal fuzzy entropy segmentation is introduced. It adopts a new membership function for the consistency and concentricity in the object and its background. A new 2D fuzzy entropy thresholding method is also developed, which is based on 2D gray histogram. The gray values of every pixel and its neighboring region are used in this 2D method. The experimental results show that the minimal fuzzy entropy method is very useful in the segmentation of some images and the 2D method has a good performance of resisting noise and good robustness. The segmentation of using 2D is much better than 1D for most images, and the new method can be easily extended to other 1D entropy imaging thresholding.

关键词： image segmentation thresholding Fuzzy entropy membership function 2D gray histogram

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